Gartner Magic Quadrant Report on Big Data Integration Tools

Based upon their Magic Quadrant analysis of data integration tools, Gartner rates Informatica Corp. and IBM as the top software vendors in the space.

Gartner uses a Magic Quadrant to rate companies as leaders, challengers, niche players and visionaries based on several criteria including “completeness of vision” and “ability to execute.” From Gartner’s website:

Leaders execute well against their current vision and are well positioned for tomorrow.

Visionaries understand where the market is going or have a vision for changing market rules, but do not yet execute well.

Niche Players focus successfully on a small segment, or are unfocused and do not out-innovate or outperform others.

Challengers execute well today or may dominate a large segment, but do not demonstrate an understanding of market direction.

A post by Mark Brunelli, Senior News Editor, at SeniorDataManagement has a more detailed analysis of the Gartner report. Here’s what Brunelli wrote, detailing some of the thoughts of Ted Friedman, a Gartner vice president and information management analyst and co-author of the report:

“You’re hearing a lot about big data and analytics around big data,” Friedman said. “To do that kind of stuff you’ve got to collect the data that you want to analyze and put it somewhere. [That] in effect is a job for data integration tools.”

It does seems that the main focus right now in this space is on data handling and data management. A lot of work is being done by companies to create data visualization tools to gain insight from the data, but as the problems get much harder, better analytics approaches will need to be brought to bear. The real key over the next few years will be on the smart analysis of all this data, turning the data into reliable actionable information.

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I currently serve as Vice President of Decision Science at CenturyLink. I've previously served as a leader in the Advanced Risk & Compliance Analytics (ARCA) practice at PwC and as Director of Data Science & Analytics Engineering at Areté Associates. I've served the public as Chair of the Thousand Oaks, CA Planning Commission. I have been married to my wife Stephanie since 1993, and we have a wonderful daughter Monroe. Learn more about me »

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It should be noted that SAS/DataFlux is also in the Leader’s quadrant of the latest Data Integration Magic Quadrant.

Relative to Big Data, Gartner states…

SAS/DataFlux can draw on SAS’s long history as an innovator of analytic applications and technology to capture opportunities relating to the growing demand for data integration in support of “big data.” Recent alliances with data warehouse appliance vendors such as Teradata and EMC/Greenplum, plans for integration with various others, and forthcoming support for Hadoop will help SAS/DataFlux capitalize on this trend.

SAS combination of information management and predictive analytics helps organizations derive insight out of big data – something that we refer to as big data analytics.

SAS tends to be conservative when it comes to overly hyped technology so we don’t have scads of marketing material on Big Data and Hadoop. SAS has been involved in big data analytics for many years. Prior to the big data craze, we had countless implementations that involve big data analytics, including critical business scenarios such as credit card fraud analysis based on huge data and transaction volume that must meet exacting response time measured in milliseconds.

We definitely have our take on Big Data – the best place to follow our discussion is on our blog, there are a bunch of recent posts about Big Data and Hadoop…